In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Quality Assurance Center, the organization that founded modern quality control. The result of my first summer at AT&T was an experiment with an orthogonal array design of size 18 (OA18) for optimization of an LSI fabrication process. As a measure of quality, the quantity "signal-ta-noise" ratio was to be optimized. Since then, this experi mental approach has been named "robust design" and has attracted the attention of both engineers and statisticians. My colleagues at Bell Laboratories have written several expository articles and a few theoretical papers on robust design from the viewpoint of statistics. Because so many people have asked for copies of these papers, it has been decided to publish them in a book form. This anthology is the result of these efforts. Despite the fact that quality engineering borrows some technical words from traditional design of experiments, the goals of quality engineering are different from those of statistics. For example, suppose there are two vendors. One vendor supplies products whose quality characteristic has a normal distribution with the mean on target (the desired value) and a certain standard deviation.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
One — Overview.- 1 Taguchi’s Quality Philosophy: Analysis and Commentary.- 2 Macro-Quality with Micro-Money.- 3 Quality Engineering using Design of Experiments.- 4 Off-Line Quality Control, Parameter Design, and the Taguchi Method.- 5 Quality Engineering through Design Optimization.- Two — Case Studies.- 6 Off-Line Quality Control in Integrated circuit Fabrication using Experimental Design.- 7 Optimizing the Wave Soldering Process.- 8 Robust Design: A Cost-Effective Method for Improving Manufacturing Processes.- 9 Tuning Computer Systems for Maximum Performance: A Statistical Approach.- 10 Design Optimization Case Studies.- Three — Methodology.- 11 Testing in Industrial Experiments with Ordered Categorical Data.- 12 Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi’s Signal-To-Noise Ratios.- 13 A Geometric Interpretation of Taguchfs Signal to Noise Ratio.- 14 A Data Analysis Strategy for Quality Engineering Experiments.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Quality Assurance Center, the organization that founded modern quality control. The result of my first summer at AT&T was an experiment with an orthogonal array design of size 18 (OA18) for optimization of an LSI fabrication process. As a measure of quality, the quantity 'signal-ta-noise' ratio was to be optimized. Since then, this experi mental approach has been named 'robust design' and has attracted the attention of both engineers and statisticians. My colleagues at Bell Laboratories have written several expository articles and a few theoretical papers on robust design from the viewpoint of statistics. Because so many people have asked for copies of these papers, it has been decided to publish them in a book form. This anthology is the result of these efforts. Despite the fact that quality engineering borrows some technical words from traditional design of experiments, the goals of quality engineering are different from those of statistics. For example, suppose there are two vendors. One vendor supplies products whose quality characteristic has a normal distribution with the mean on target (the desired value) and a certain standard deviation. 336 pp. Englisch. Codice articolo 9781468414745
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, . Codice articolo 4202919
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Taschenbuch. Condizione: Neu. Quality Control, Robust Design, and the Taguchi Method | Khosrow Dehnad | Taschenbuch | xxiv | Englisch | 2012 | Springer US | EAN 9781468414745 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 105120555
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Quality Assurance Center, the organization that founded modern quality control. The result of my first summer at AT&T was an experiment with an orthogonal array design of size 18 (OA18) for optimization of an LSI fabrication process. As a measure of quality, the quantity 'signal-ta-noise' ratio was to be optimized. Since then, this experi mental approach has been named 'robust design' and has attracted the attention of both engineers and statisticians. My colleagues at Bell Laboratories have written several expository articles and a few theoretical papers on robust design from the viewpoint of statistics. Because so many people have asked for copies of these papers, it has been decided to publish them in a book form. This anthology is the result of these efforts. Despite the fact that quality engineering borrows some technical words from traditional design of experiments, the goals of quality engineering are different from those of statistics. For example, suppose there are two vendors. One vendor supplies products whose quality characteristic has a normal distribution with the mean on target (the desired value) and a certain standard deviation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch. Codice articolo 9781468414745
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